Driving Assistance Radar Ghost Target Verification
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Solution Overview
Problem
Existing driving assistance systems face challenges in accurately distinguishing between actual approaching objects and ghost objects, leading to potential safety issues when actual objects are erroneously determined as ghost objects and no notification is performed.
Innovation Solution
A driving assistance device that includes an object detection unit, an acquisition unit, a ghost determination unit, and an assistance determination unit, which calculates speed and azimuth differences between detected objects and theoretically assumed ghost targets to accurately determine if an object is a ghost target, using a radar device, vehicle speed sensor, and ECU to perform driving assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system uses reflected waves to detect approaching objects, then object detection capability is improved, but ghost objects (false detections) are generated due to multiple reflections from road structures
Solution Approach 1:
The patent introduces an intermediary verification mechanism by detecting a following object (real object) between the own vehicle and the approaching object. This intermediary object serves as a reference to validate whether the approaching object is a ghost object or real, thereby resolving the false detection problem caused by multiple reflections.
Solution Approach 2:
The system implements feedback by using the detected following object's position and speed information to verify the validity of the approaching object detection. The determination unit continuously monitors and compares the relationships between own vehicle, following object, and approaching object to provide feedback on detection accuracy and eliminate ghost objects.
2Reliability
If the system excludes detected objects as ghost objects to reduce false alarms, then notification accuracy is improved, but actual approaching objects may be erroneously excluded reducing safety
Solution Approach 1:
The system performs preliminary verification by detecting the following object before making the final determination about the approaching object. This preliminary action of identifying a real intermediate object provides a basis for accurate judgment, ensuring that actual approaching objects are not erroneously excluded while maintaining high notification accuracy.
Solution Approach 2:
The following object detected between the own vehicle and approaching object serves as an intermediary reference point. By establishing spatial and speed relationships with this intermediary object, the system can reliably distinguish ghost objects from real approaching objects, preventing erroneous exclusions while maintaining notification accuracy.
3Measurement precision
If the system performs detailed verification using multiple parameters (speed difference, azimuth difference) to distinguish ghost objects, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The determination process is segmented into distinct verification steps: detecting the following object, calculating speed differences, calculating azimuth differences, and making the final determination. This segmentation of the verification process into manageable stages improves detection accuracy while keeping the system structure organized and complexity controllable.
Solution Approach 2:
The system adds another dimension of verification by introducing azimuth difference calculation in addition to speed difference analysis. This multi-dimensional approach (speed + position/azimuth) significantly improves ghost object determination accuracy by examining the problem from multiple parameter dimensions rather than relying on a single metric.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively distinguishes between actual approaching objects and ghost objects with higher accuracy, ensuring traveling safety by preventing erroneous ghost object determinations and providing timely notifications for actual objects.
Implementation Method 1
a system that transmits electromagnetic waves toward the front of the own vehicle and receives reflected waves resulting from the electromagnetic waves to detect another vehicle approaching the own vehicle
Implementation Method 2
acquire a first value of a relative speed of an approaching object with respect to an own vehicle
Data Source
AI summary
A driving assistance device includes an object detection unit, an acquisition unit acquiring a first value of a relative speed of an approaching object with respect to an own vehicle, a ghost determination unit, and an assistance determination unit. The ghost determination unit calculates a second value of the relative speed of the approaching object in accordance with a speed of the own vehicle and a value of the relative speed of a following object located between the own vehicle and the approaching object; calculates, as a speed difference, an absolute difference between the first value of the relative speed and the second value of the relative speed; calculates, as an azimuth difference, an absolute difference between an azimuth of the following object and an azimuth of the approaching object; and determines whether the approaching object is the ghost target based on the speed difference and the azimuth difference.